Evidence map›Paper›PMID 36980674›Full record

ArticleCancers2023

Exact Probability Distribution for the ROC Area under Curve.

Joakim Ekström, Jim Åkerrén Ögren, Tobias Sjöblom

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In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Joakim EkströmDepartment of Immunology, Genetics, Pathology, Uppsala University, Rudbecklaboratoriet, 752 57 Uppsala, Sweden.ORCID 0000-0002-9734-3979
Jim Åkerrén ÖgrenDepartment of Immunology, Genetics, Pathology, Uppsala University, Rudbecklaboratoriet, 752 57 Uppsala, Sweden.ORCID 0000-0002-5717-8577
Tobias SjöblomDepartment of Immunology, Genetics, Pathology, Uppsala University, Rudbecklaboratoriet, 752 57 Uppsala, Sweden.ORCID 0000-0001-6668-4140

Funding

Peder Johnson N/ASjöbergstiftelsen N/ASwedish Cancer Society 2018/772Swedish Cancer Society 21-0430-P
6 · The paper itself

Abstract

The Receiver Operating Characteristic (ROC) is a de facto standard for determining the accuracy of in vitro diagnostic (IVD) medical devices, and thus the exactness in its probability distribution is crucial toward accurate statistical inference. We show the exact probability distribution of the ROC AUC-value, hence exact critical values and

Indexed as

AUC p-valueAUC-value distribution functionexact testreceiver operating characteristic

Identifiers

PMID36980674
PMCPMC10046879

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read9
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.